Gobblin is a distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Started: 2017-02-23; Last Status Update: 2020-10-29
Reporting: January, April, July, October
PPMC members: 13
Mentors: Jean-Baptiste Onofre (jbonofre), Olivier Lamy (olamy), Owen O’Malley (omalley)
2020-01-22 New Committer: Lei Sun
2020-01-09 New Committer: Kuai Yu
2019-01-07 New Committer: Sudarshan Vasudevan
2018-11-08 New Committer: Tamas Nemeth
2017-07-02 New Committer: Joel Baranick
2017-02-23 Project enters incubation.
Developer mailing list: http://mail-archives.apache.org/mod_mbox/gobblin-dev
Commits mailing list: http://mail-archives.apache.org/mod_mbox/gobblin-commits
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